AudioAdvertised
This dataset contains over 250,000 hours of podcast dialogues recordings, collected from contributors around the world.
- Language
- —
- Volume
- 250k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
A large-scale multimedia dataset containing 30K+ hours of official government communications recordings captured globally, designed for speech, video, and AI…
- Language
- —
- Volume
- 30k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset contains over 500,000 hours of call center audio recordings, collected from contributors around the world.
- Language
- —
- Volume
- 500k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset contains over 500,000 hours of multilingual conversations recordings, collected from contributors around the world.
- Language
- —
- Volume
- 500k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset contains over 50,000 hours of educational lectures recordings, collected from contributors around the world.
- Language
- —
- Volume
- 50k h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
A large-scale multimedia dataset containing 5K+ hours of multi-sport audio commentary recorded across diverse sporting events and broadcast environments.
- Language
- —
- Volume
- 5,000 h
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · MultimodalAdvertised
1. Specifications Format : 8kHz, 8bit, u-law/a-law pcm, mono channel; Environment : quiet indoor environment, without echo; Recording content : No preset linguistic…
- Language
- —
- Volume
- 15k h
- Domain
- Education +1
- Use case
- Speech recognition
Audio · Text · MultimodalAdvertised
Specifications: ‣ Volume: 100,000+ hours ‣ Format: 8kHz, mono channel (WAV audio + JSON transcript) ‣ Environment: Studio, podcast-quality recording, podcast audio data…
- Language
- —
- Volume
- 10k h
- Domain
- Education +1
- Use case
- Speech recognition
Audio · TextAdvertised
This dataset offers a large-scale multilingual speech corpus covering 54 global languages, including Arabic, Hindi, English (US/UK/India), Mandarin, Spanish, French, and…
- Language
- —
- Volume
- 3.7M h
- Domain
- Science & Research
- Use case
- Speech recognition
Audio · MultimodalAdvertised
Specifications: ‣ Volume: 100,000+ hours ‣ Format: 8kHz, mono channel (WAV audio + JSON transcript) ‣ Environment: Studio, podcast-quality recording ‣ Recording content:…
- Language
- Korean
- Volume
- —
- Domain
- Education +1
- Use case
- Speech recognition
Audio · MultimodalAdvertised
Specifications: ‣ Volume: 100,000+ hours ‣ Format: 8kHz, mono channel (WAV audio + JSON transcript) ‣ Environment: Studio, podcast-quality recording ‣ Recording content:…
- Language
- Arabic
- Volume
- —
- Domain
- Education +1
- Use case
- Speech recognition
Audio · MultimodalAdvertised
Specifications: ‣ Volume: 100,000+ hours ‣ Format: 8kHz, mono channel (WAV audio + JSON transcript) ‣ Environment: Studio, podcast-quality recording ‣ Recording content:…
- Language
- French
- Volume
- —
- Domain
- Education +1
- Use case
- Speech recognition
Audio · Text · MultimodalAdvertised
Clean-licensed Indonesian conversational speech, without the gray zones.
- Language
- Indonesian
- Volume
- —
- Domain
- AI & Machine Learning +1
- Use case
- Speech recognition
Audio · MultimodalAdvertised
Specifications: ‣ Volume: 100,000+ hours ‣ Format: 8kHz, mono channel (WAV audio + JSON transcript) ‣ Environment: Studio, podcast-quality recording, call center audio ‣…
- Language
- Thai
- Volume
- —
- Domain
- Education +1
- Use case
- Speech recognition
Audio · TextAdvertised
A large-scale multimedia dataset containing 100,000 hours of scripted dialogue from long-form television series and soap operas, performed by professional actors in…
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
Audio · TextAdvertised
A large-scale multimedia dataset containing 10K hours of local news interviews recorded across diverse regions, designed for speech, video, and AI experimentation.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
AudioAdvertised
34.5K hours of OTS owned & operated, rights-cleared conversational audio across hundreds of speakers and multiple US regions.
- Language
- —
- Volume
- —
- Domain
- Education +1
- Use case
- Speech recognition
Audio · TextAdvertised
WiserBrand offers premium audio data sourced exclusively from real-world, high-emotion customer service conversations.
- Language
- —
- Volume
- —
- Domain
- Education +1
- Use case
- Speech recognition
AudioAdvertised
High-quality conversational audio dataset collected through a global network of 3M+ verified data collectors across 150+ countries.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning
- Use case
- Speech recognition
AudioAdvertised
This dataset contains thousands of authentic audio recordings of customer calls to service teams across key U.S.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition
Audio · VideoAdvertised
TranscriptDB is the full YouTube transcript firehose, built for systematic hedge funds with in-house NLP capacity and AI labs training foundation models.
- Language
- —
- Volume
- —
- Domain
- Public Sector & Legal +3
- Use case
- Speech recognition
AudioAdvertised
This dataset includes a large-scale collection of podcast audio data across multiple languages, domains, and speaker demographics.
- Language
- —
- Volume
- 57k h
- Domain
- Speech & Audio
- Use case
- Speech recognition
Audio · TextAdvertised
The provider provides licensed, consent-verified speech recordings from native speakers for AI/ML model training.
- Language
- —
- Volume
- —
- Domain
- Education
- Use case
- Speech recognition
Audio · TextAdvertised
Scope: Synthetic customer–agent interactions, available in dual-channel (per speaker) or single-channel mixes.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- Speech recognition